Yonglin Shen
Dados Biográficos
| ID | 7907220 |
|---|---|
| NOME | Yonglin Shen |
| PRENOMES | Yonglin |
| SOBRENOME | Shen |
| ASSINATURA | SHEN Y |
| AFILIAÇÕES | China University of Geosciences |
| ORCID | 0000-0001-8190-4615 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 3 |
| TOTAL DE CITAÇÕES | 0 |
| TOTAL COMO AUTOR | 3 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2017 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2026 |
| ÍNDICE H | 0 |
A novel cross-city video-based ensemble deep learning model for air quality estimation
Spatiotemporal Big Data for PM2.5 Exposure and Health Risk Assessment during Covid-19
The coronavirus disease 2019 (COVID-19) first identified at the end of 2019, significantly impacts the regional environment and human health. This study assesses PM 2.5 exposure and health risk during COVID-19, and its driving factors have been analyzed using spatiotemporal big data, including Tencent location-based services (LBS) data, place of interest (POI), and PM 2.5 site monitoring data. Specifically, the empirical orthogonal function (EOF)…
PM2.5, Population Exposure and Economic Effects in Urban Agglomerations of China Using Ground-Based Monitoring Data
This paper adopts the PM 2.5 concentration data obtained from 1497 station-based monitoring sites, population and gross domestic product (GDP) census data, revealing population exposure and economic effects of PM 2.5 in four typical urban agglomerations of China, i.e., Beijing-Tianjin-Hebei (BTH), the Yangtze River delta (YRD), the Pearl River delta (PRD), and Chengdu-Chongqing (CC). The Cokriging interpolation method was used to estimate the PM …
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PM2.5, Population Exposure and Economic Effects in Urban Agglomerations of China Using Ground-Based Monitoring Data
This paper adopts the PM 2.5 concentration data obtained from 1497 station-based monitoring sites, population and gross domestic product (GDP) census data, revealing population exposure and economic effects of PM 2.5 in four typical urban agglomerations of China, i.e., Beijing-Tianjin-Hebei (BTH), the Yangtze River delta (YRD), the Pearl River delta (PRD), and Chengdu-Chongqing (CC). The Cokriging interpolation method was used to estimate the PM …
Spatiotemporal Big Data for PM2.5 Exposure and Health Risk Assessment during Covid-19
The coronavirus disease 2019 (COVID-19) first identified at the end of 2019, significantly impacts the regional environment and human health. This study assesses PM 2.5 exposure and health risk during COVID-19, and its driving factors have been analyzed using spatiotemporal big data, including Tencent location-based services (LBS) data, place of interest (POI), and PM 2.5 site monitoring data. Specifically, the empirical orthogonal function (EOF)…
A novel cross-city video-based ensemble deep learning model for air quality estimation
Air Quality and Health Impacts (3 obras) · Environmental health (2 obras) · Environmental Science (2 obras) · Geography (2 obras) · Medicine (2 obras) · Population (2 obras) · Air pollution (1 obras) · Air quality index (1 obras) · Air Quality Monitoring and Forecasting (1 obras) · Atmospheric chemistry and aerosols (1 obras)